Role Purpose
We are seeking an experienced Data Analytics Manager to lead analytics across a complex international business operating in multiple countries. The role will turn large volumes of customer, commercial and operational data into actionable insight, supporting senior management in improving revenue, customer acquisition, retention, profitability and operational performance.
The successful candidate will have strong hands-on analytical capability combined with the ability to lead a team, work across international markets and communicate complex findings clearly to senior stakeholders.
Key Responsibilities
- Lead the data analytics function across multiple international markets, establishing consistent reporting, KPIs and analytical standards.
- Develop executive dashboards covering revenue, sales, customer acquisition, churn, retention, ARPU, usage, profitability and operational performance.
- Analyse large customer and transactional datasets to identify commercial trends, opportunities and performance issues.
- Deliver advanced customer segmentation, cohort, propensity, churn and lifetime-value analysis.
- Partner with Commercial, Marketing, Finance, Product, Technology and Operations teams to turn data into measurable business actions.
- Analyse marketing and digital acquisition performance, including CAC, conversion, ROI/ROAS and channel effectiveness.
- Develop forecasting and predictive models to support commercial planning and decision-making.
- Establish automated reporting and reduce reliance on manual spreadsheets.
- Ensure data accuracy, consistency and governance across different countries and source systems.
- Build and manage BI dashboards and self-service analytics capabilities.
- Present insights and recommendations to C-suite and senior leadership.
- Recruit, develop and manage analysts/data specialists as required.
Candidate Requirements
- 8–12+ years' experience in data analytics, BI, commercial analytics or customer analytics.
- Demonstrable experience operating across multiple countries/international markets.
- Strong preference for experience within Telecom/MNO/MVNO, Technology, Digital or another high-volume B2C environment.
- Experience analysing large customer/subscriber datasets.
- Strong commercial understanding — not simply a technical/reporting analyst.
- Advanced SQL capability.
- Strong experience with Power BI and/or Tableau.
- Experience with Python and/or R for advanced analytics is highly desirable.
- Strong understanding of data warehouses, ETL/data pipelines and cloud data environments.
- Experience with predictive analytics, statistical modelling and ideally AI/ML-enabled analytics.
- Proven ability to translate analysis into clear commercial recommendations.
- Previous team-management experience.
- Excellent communication and senior stakeholder-management skills.
